Online Master of Engineering in Quality, Reliability and Statistical Engineering
Are you passionate about achieving meaningful business results through the design, management and implementation of changes within an organization? If so, Arizona State University’s Master of Engineering in quality, reliability and statistical engineering may be a great fit for you. In this advanced degree, you’ll learn about modern statistical and engineering techniques, as well as the ways in which they’re deployed in a wide range of industrial and business settings.
Next start date: 01/08/2024
Total classes: 10
Weeks per class: 7.5-15
Total credit hours: 30
Degree questions, answered.
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What are the differences between quality, reliability and statistical engineering?
These areas of emphasis each contribute to improving complete systems and processes. While similar, they have key distinctions. Quality engineering emphasizes quality assurance and control for products and services, which can apply to both development and production. Reliability engineering is based on ensuring a product or service continues to function as intended and statistical engineering focuses on resolving intricate questions and business issues through data and analysis.
By earning a Master of Engineering with an emphasis in quality, reliability and statistical engineering, you’ll learn the techniques of each and how they’re deployed in a wide range of industrial and business settings.
How can an emphasis in reliability engineering support my career goals?
A focus on customization allows you to choose courses that align with your academic and professional goals. You can continue to refine your technical skills, while gaining an understanding of the management side of an organization. Additionally, you have the unique opportunity to pair your degree with ASU Online’s Lean Six Sigma Black Belt graduate certificate, with the benefit of not needing to earn additional credit hours.
Who is best suited for this engineering degree?
You’re an ideal candidate for this program if you have work experience in a related field. Your interest in one or more of the following disciplines can also indicate this program may be a good fit:
- Distribution and supply chain.
- Process development.
- Product, service and engineering design.
Additionally, an advanced background in mathematics is essential. To understand the course material, you must have completed differential and integral calculus courses, as well as a calculus-based probability and statistics course.
Featured master’s in engineering courses
The practical curriculum for this online master’s in engineering degree can help you build experience applicable to your career. You’ll complete 30 credit hours of coursework, including 15 credit hours of core courses, 12 credit hours of engineering electives and an applied project to culminate your degree. Courses include:
Advanced Quality Control
Design Engineering Experiments
Advanced Simulating Stochastic Systems
Applied Deterministic Operations Research Models
Applied Stochastic Operations Research Models
What can I do with a master’s in engineering?
A Master of Engineering with an emphasis in quality, reliability and statistical engineering can enhance your ability to secure senior positions and leadership roles. Upon graduation, you’ll be qualified to work in product and service realization, product and process development, manufacturing, distribution, logistics and supply chain operations. Career examples include, but are not limited to:
Master’s in engineering admission requirements
Applicants to the Master of Engineering program, with an emphasis in quality, reliability and statistical engineering, must fulfill the requirements of both Graduate College and the Ira A. Fulton Schools of Engineering.
Top 25% of all accredited engineering programs in the nation
Each student is fully supported on their path to success in the Ira A. Fulton Schools of Engineering. We have received peer-reviewed programmatic honors from U.S. News & World Report and provide students with a rich learning environment.
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